MODEL EVALUATES PIPELINE INSPECTION SENSORS. DEFECT DETECTION--1
Basic statistical decision methods can help determine the performance of pipeline inspection-tool sensors and make comparisons among various sensing technologies. As long as the equipment designer and manufacturer provide appropriate information about the sensor design, the user of in-line inspection systems no longer need guess which methods and hardware to use. This article, the first of a two part series, presents the theory on which the probability model is based. The application to the pipeline-inspection process is presented in part two.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00301388
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Corporate Authors:
PennWell Publishing Company
1421 South Sheridan, P.O. Box 1260
Tulsa, OK United States 74101 -
Authors:
- HAMILTON, J C
- Publication Date: 1989-9-4
Media Info
- Features: Figures; References;
- Pagination: p. 80-83
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Serial:
- Oil and Gas Journal
- Volume: 87
- Issue Number: 36
- Publisher: PennWell Publishing Company
- ISSN: 0030-1388
Subject/Index Terms
- TRT Terms: Defects; Detection and identification; Detectors; Inspection; Mathematical models; Performance; Pipelines; Probability theory; Sensors; Statistical analysis
- Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Pipelines; Terminals and Facilities;
Filing Info
- Accession Number: 00488276
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 30 1990 12:00AM